Location: 100 King Street West, Toronto About the Role As an AI Engineer, you will play a critical role in building BMO’s next‑generation agentic AI ecosystem, enabling scalable, AI‑driven automation across enterprise workflows. You will work on a multi‑year transformation initiative focused on delivering production‑grade AI agents and orchestration platforms, leveraging Large Language Models (LLMs) and Azure AI services to drive operational efficiency, decision augmentation, and enhanced user experiences. This role combines hands‑on engineering, platform design, and technical leadership, giving you the opportunity to shape foundational capabilities that will be reused across the enterprise. Why This Role is Unique Opportunity to build enterprise‑scale AI agent ecosystems (multi‑agent orchestration) Direct impact on digital‑first transformation initiatives Work on an Azure‑native AI platform, including Foundry where applicable Influence governance, evaluation frameworks, and AI safety standards Role Summary Lead the design and development of an enterprise Agent Ecosystem, including orchestration, agent lifecycle management, and integration patterns Act as a player‑coach, combining hands‑on development with technical leadership and architectural guidance Establish foundational design patterns and reusable frameworks to scale agent development across teams Key Responsibilities Agent Platform & Orchestration Design and implement orchestration layers (routing, tool calling, workflow coordination, memory/state management) Build and integrate agent registries and lifecycle management frameworks Implement resilient execution patterns (fallbacks, retries, error handling) Enterprise AI Engineering Define reusable agent templates, SDKs, and platform abstractions Integrate Azure AI services and enterprise systems Enable scalable deployment and lifecycle management of agents Observability & Reliability Establish monitoring (logging, tracing, metrics, drift detection) Build operational dashboards and alerting frameworks for AI systems Governance & AI Evaluations Embed governance, auditability, and responsible AI controls Integrate evaluation pipelines to assess performance, safety, and drift Strategic Collaboration Translate business vision into architecture and delivery plans Partner with product and leadership to drive roadmap and execution Required Qualifications 5-7+ years in software engineering with a strong AI/ML focus Experience building LLM‑powered applications or agent‑based systems Deep expertise in the Azure cloud ecosystem Strong understanding of Multi‑agent orchestration Tool calling / routing State & memory management Hands‑on experience with observability in AI systems Proven track record of delivering end‑to‑end AI solutions Preferred Experience with Azure AI Foundry or emerging Microsoft AI tooling Exposure to AI evaluation frameworks and governance models Experience designing enterprise platforms (identity, registry, access control) Background in regulated industries, e.g., financial services NOTE – This is a hybrid position based in Toronto, with at least two to three days per week expected to be onsite in the office. Salary: $75,900.00 – $141,900.00 Benefits include health insurance, tuition reimbursement, accident insurance, life insurance, and retirement savings plans. For more information on our benefits, visit the BMO careers site. BMO s’engage à offrir un milieu de travail inclusif, équitable et accessible. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. Pour demander des mesures d’adaptation, veuillez communiquer avec votre recruteur. #J-18808-Ljbffr